MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas.MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

random valued impulse noise using anniso diff\Add Impulse Noise to images.txt
.............................................\Anisotropic Diffusion (Perona & Malik)1 .txt
.............................................\Anisotropic Diffusion (Perona & Malik)2.txt
.............................................\Anisotropic Diffusion (Perona & Malik)3.txt
.............................................\Anisotropic diffusion.txt
.............................................\BlockShrink denoising .txt
.............................................\code for histogram of colour image.txt
.............................................\diffusion filtering1.txt
.............................................\diffusion filtering2.txt
.............................................\diffusion filtering3.txt
.............................................\fold\aniso rvin denoising.txt
.............................................\....\denoising rvin.txt
.............................................\....\embed rovar.txt
.............................................\....\inpainting denoisin.txt
.............................................\....\rvin.txt
.............................................\from Lab2RGB.txt
.............................................\from RGB2Lab.txt
.............................................\Function to format images for printing in documents..txt
.............................................\fuzzy approximation.txt
.............................................\happy face.txt
.............................................\High Density Impulse Noise Removal.txt
.............................................\Image De-Nosing Using Low-Pass Filters.txt
.............................................\Image Denoising using Fourth Order PDE.txt
.............................................\RGB.txt
.............................................\rgb_hsi.txt
.............................................\fold
random valued impulse noise using anniso diff

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